Mapping Information of Fire Events, from VGI Source (Twitter), for Effective Disaster Management (in Greece); The Fire of North-East Attica, August 2017, (Greece) Case Study

Arapostathis, Stathis G.; Karantzia, Marianthi

doi:10.1007/978-3-030-01440-7_60

Cited by 6 publications

(4 citation statements)

References 6 publications

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“…Moreover, the category "consequences" was further sub-classified to 5 values, ranged from I to V. The first value (I) is related to simple identification of a rain or a storm while the value V is related to Loss of human life. A similar consequence scoring was presented by the author previously [1]. However this version of scoring is enriched with more certain incidents (Table 2).…”

Section: Methodsmentioning

confidence: 82%

“…The next step of the methodology was related to classifying the tweets in categories that makes sense to visualize. Table 1 indicates all the categories that emerged through a conceptual mashup of the structures of other published research [1,6,8]. Moreover, the latter, performed the classification either by reading each tweet 1 by 1 or by using various text queries that contributed to accelerating the process.…”

Section: Methodsmentioning

confidence: 99%

“…At first, it is a classification problem. While international research has proposed various classification structures [1,6,8] there is still room for improvement, as the most effective classification can lead to the most effective delivery of vital information. The second cluster of challenges is related to the precise georeferencing, as the only way to have meaningful maps is to have sufficient geo-referencing of the data.…”

Section: Tweeting About Floods Of Messinia (Greece September 2016) -T...mentioning

confidence: 99%

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Tweeting About Floods of Messinia (Greece, September 2016) - Towards a Credible Methodology for Disaster Management Purposes

Arapostathis

2019

IFIP Advances in Information and Communication Technology

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As repeatedly stated by many researchers, the phenomenon of volunteered geo-graphic information (VGI) is an important new technological tool that can contribute to disaster management (DM). Specifically regarding floods, despite that there is very interesting published research work that assesses VGI and flood event management in various areas of the world, related research in Greece, is still limited. Moreover, the necessity of creating meaningful maps and graphs is still a significant challenge glob-ally, along with the general need to reduce the time needed for data processing. Cur-rent research presents steps towards those issues, by advancing various innovative initial methods and techniques that have been presented previously. The floods of Kalamata, Messinia (Greece, September 2016) were selected for case study, while as a VGI source, a corpus of 111000 tweets, published within 120 hours since the flood event occurrence, was used. As far as the methodology is concerned, the main steps, included: a. the classification of the tweets in categories, the main of which were: i) flood tracking, ii) tracking of consequences, iii) simple identification of rain and iv) irony/emotions. The next step was related to geo-referencing the classified infor-mation, by using an R script, while the final steps were linked to generating maps and graphs, from subsets of the processed data. The outcome of this research is based on the analysis of about 45% of the total dataset.

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Section: Methodsmentioning

confidence: 82%

Section: Methodsmentioning

confidence: 99%

Section: Tweeting About Floods Of Messinia (Greece September 2016) -T...mentioning

confidence: 99%

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Tweeting About Floods of Messinia (Greece, September 2016) - Towards a Credible Methodology for Disaster Management Purposes

Arapostathis

2019

IFIP Advances in Information and Communication Technology

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“…Other approaches based on crowdsourced data have been proposed, using, e.g., data extracted from social media (e.g., Al-Salehi et al, 2021;Tavra et al, 2021;Arapostathis & Karantzia, 2019) or dedicated apps, such as the CITISENS project in Greece (Bogdos & Manolakos, 2019). However, the geolocation with data collection from social media has many limitations, including the data and metadata obtained using the available social media Advances in Forest Fire Research 2022 -D. X.…”

Section: Introductionmentioning

confidence: 99%

The FireLoc System - Geolocating Forest Fires with Crowdsourced Data

Fonte¹,

Cardoso²,

Estima³

et al. 2022

Advances in Forest Fire Research 2022

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The FireLoc system aims to allow the reporting of forest fires observed by citizens using a dedicated app developed for mobile devices. The collected data includes the observerâ€™s geolocation, a photograph of the observed event, and the orientation of the observer towards the fire. Data above are integrated into the FireLoc system, which also includes other types of georeferenced data about terrain, including, e.g., land cover and slope information. The system processes the collected data and identifies the geolocation of the observed events in almost real-time. This may enable a fast geolocation of the observed events and also assist in the monitoring of a fire progress. This short paper briefly describes the FireLoc System that comprises three components: 1) a data collection component developed for mobile platforms; 2) a data integration and processing component, which processes collected data, assesses the most probable location of the observed event considering the reliability of contributed data; 3) a component for providing information to the general public and institutions, which is developed for both mobile and desktop platforms and allows the monitoring of the reported eventsâ€™ progress.

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Fire-Event Management Insights Through Social Media

Arapostathis

2023

Selected Studies in Geotechnics, Geo-Informatics and Remote Sensing

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Mapping Information of Fire Events, from VGI Source (Twitter), for Effective Disaster Management (in Greece); The Fire of North-East Attica, August 2017, (Greece) Case Study

Cited by 6 publications

References 6 publications

Tweeting About Floods of Messinia (Greece, September 2016) - Towards a Credible Methodology for Disaster Management Purposes

Tweeting About Floods of Messinia (Greece, September 2016) - Towards a Credible Methodology for Disaster Management Purposes

The FireLoc System - Geolocating Forest Fires with Crowdsourced Data

Fire-Event Management Insights Through Social Media

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